Unlock the power of your unstructured data with Progress Agentic RAG - a no-code, multilingual, agentic RAG platform that delivers traceable, verifiable AI search across documents, media, and systems.
Progress Agentic RAG is a SaaS-based Retrieval-Augmented Generation (RAG) platform designed to help organizations extract actionable insights from unstructured data - including documents, audio, video, and web content - using AI agents and modular pipelines.
Whether you're a startup building internal search tools or an enterprise deploying AI copilots, Progress Agentic RAG offers:
Agentic RAG: Automate ingestion, retrieval, and reasoning with agents that classify, summarize, and extract knowledge.
Multimodal Indexing: Ingest and query any format - PDFs, videos, slides, emails - in any language.
LLM Flexibility: Choose the LLM that works best for your use case. Progress Agentic RAG integrates with all the leading enterprise LLMs on the market. Use our own instances or bring your own model API keys.
Traceable and Quality Outputs: Every answer is grounded in source data, with full transparency.
No-Code Deployment: Launch AI search pipelines without writing code or managing infrastructure.
Enterprise-Ready: Flexible LLM integration and private offers tailored to complex organizational needs.
Progress Agentic RAG is ideal for teams in customer support, legal, product management, and business intelligence - helping them reduce manual effort, accelerate workflows, and unlock institutional knowledge.
Highlights
Multilingual, No-Code AI Search: Build powerful RAG pipelines without writing code - across languages and formats.
Flexible Deployment: Full control over LLMs and data governance.
Traceable, Verifiable Results: Every AI-generated answer links back to its source for auditability and trust.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This annual contract combines two edition tiers with two usage-based add-ons. You choose either the Growth Edition or the Enterprise Edition as your base. Growth Edition caps file size, resource count, and indexed data. Enterprise Edition removes those limits and adds a premium SLA plus LLM alignment and fine tuning. On top of your edition, you buy Tokens to cover AI searches, LLM operations, and storage consumption. You also pay a monthly cost for each additional Knowledge Box beyond what your base includes. Tokens and Knowledge Boxes scale with usage, while editions set your feature and capacity level.
Top-of-mind questions for buyers
What does one token cover, and what activity uses them up?
Tokens are consumption units drawn down by AI activity. They cover AI searches, large language model (LLM) operations, and storage of your indexed content. As search volume, LLM calls, and stored data grow, you consume more tokens. Each of these three activity types draws from the same token pool.
What separates the Growth Edition from the Enterprise Edition?
Growth Edition sets capacity limits: 1.5GB per file, 80,000 resources per Knowledge Box, and 50GB of indexed data. Enterprise Edition removes those caps, allowing unlimited documents and file sizes. Enterprise Edition also adds a premium SLA plus LLM alignment and fine tuning not offered in Growth Edition.
How do the editions, Tokens, and Knowledge Boxes combine on my bill?
Your chosen edition sets your feature level and capacity limits. On top of that, Tokens bill by consumption from AI searches, LLM operations, and storage. Each additional Knowledge Box adds a monthly charge. All three appear together, so token usage and extra Knowledge Boxes drive most cost changes.
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Unlock the power of your unstructured data with Progress Agentic RAG - a no-code, multilingual, agentic RAG platform that delivers traceable, verifiable AI search across documents, media, and systems.
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